A learning-based method to predict LncRNA-disease associations by combining CNN and ELM

Background: lncRNAs play a critical role in numerous biological processes and life activities, especially diseases. Considering that traditional wet experiments for identifying uncovered lncRNA-disease associations is limited in terms of time consumption and labor cost. It is imperative to construct...

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Bibliographic Details
Main Authors:	Chen, Z.-H (Author), Guo, Z.-H (Author), Wang, M.-N (Author), Wang, Y.-B (Author), Yi, H.-C (Author), You, Z.-H (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	Association prediction Biological life Biological process biology CNN Computational Biology Computational modelling Convolutional neural network Convolutional neural networks Deep learning Disease Disease associations Diseases ELM Forecasting genetics Labor costs Learning-based methods lncRNA Lncrna long untranslated RNA machine learning Machine Learning Neural Networks, Computer procedures receiver operating characteristic RNA, Long Noncoding ROC Curve Semantics Statistical methods Time consumption Wages
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A learning-based method to predict LncRNA-disease associations by combining CNN and ELM

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